{"id":"W4386438497","doi":"10.1007/978-1-0716-3393-9_17","title":"Engineering SH2 Domains with Tailored Specificities and Affinities","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"SH2 domain; Computational biology; Affinities; Protein–protein interaction; Signal transduction; Biology; Biochemistry; Proto-oncogene tyrosine-protein kinase Src; Chemistry; Cell biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000465186,0.0005830781,0.0002903399,0.0002553977,0.0001904685,0.0005027885,0.0005329474,0.0005190789,0.001800746],"category_scores_gemma":[0.0002983024,0.0003035728,0.0002735722,0.0002635849,0.0002434955,0.0003641576,0.0006771603,0.0009566438,0.0007823323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004695392,"about_ca_system_score_gemma":0.0002058782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003528547,"about_ca_topic_score_gemma":0.001115122,"domain_scores_codex":[0.9997864,0.00003405847,0.00001930721,0.00003665028,0.00006213168,0.00006141169],"domain_scores_gemma":[0.9998922,0.00002943411,0.00001913711,0.00001387751,0.00002011334,0.00002510459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007963726,0.00004304885,0.0001521275,0.0000478162,0.00001292288,0.00005413147,0.00003061334,0.0005074334,0.9943653,0.0008889238,0.0001863222,0.003631796],"study_design_scores_gemma":[0.00002964294,0.00006006477,0.0003191868,0.000005149245,0.00001887565,0.00009923409,0.0000226861,0.001821906,0.9917148,0.0001742044,0.005727312,0.000006872443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9285602,0.001041335,0.06314283,0.0003194421,0.0001256325,0.0001445006,0.0003777498,0.00031158,0.005976738],"genre_scores_gemma":[0.9556884,0.000650377,0.0334819,0.0003332589,0.00001880278,0.0001256607,0.000495104,0.0001307632,0.009075817],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001800746,"threshold_uncertainty_score":0.006024122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075022051449732,"score_gpt":0.4041251674382545,"score_spread":0.3633749469237572,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}